Company Description

At Bungee Tech, our unwavering focus is on empowering retailers and brands to deliver unparalleled customer experiences regardless of location or need. We recognize that accurate and superior quality data and market insights are the key to achieving this objective, and we leave no stone unturned in ensuring that our clients have a full omnichannel perspective of their competitive landscape.

Our cutting-edge extraction techniques enable us to gather billions of data points every day from public sources, which we then match and track for price, availability, and promotions to keep our clients ahead of the curve and identify new growth opportunities. Our data collection and extraction modules operate at an internet scale on the cloud. In contrast, our matching modules utilize state-of-the-art ML models, making us a genuinely tech-centric organization.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role in their design and development

• You will research, design and code, troubleshoot, and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

Qualifications

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering, or similar.

• 5+ years of relevant professional experience in Data Engineering and Business Intelligence

• 5+ years in with Advanced SQL (analytical functions), ETL, and Data Warehousing.

• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling, and performance tuning.

• Ability to effectively communicate with both business and technical teams.

• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language

• Understanding of relational and non-relational databases and basic SQL

• Proficiency with at least one of these scripting languages: Perl / Python / Ruby/shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.

• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.

• Experience working with Data Lakes.

• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space

• Sharp problem solving skills and ability to resolve ambiguous requirements

• Experience on working with Big Data

• Knowledge and experience on working with Hive and the Hadoop ecosystem

• Knowledge of Spark

• Experience working with Data Science teams